


from collections import OrderedDict
from typing import Mapping

from ...configuration_utils import PretrainedConfig
from ...onnx import OnnxConfig
from ...utils import logging


UpperCAmelCase_ :					Optional[int]       =			logging.get_logger(__name__)

UpperCAmelCase_ :					List[Any]       =			{
    'kssteven/ibert-roberta-base': 'https://huggingface.co/kssteven/ibert-roberta-base/resolve/main/config.json',
    'kssteven/ibert-roberta-large': 'https://huggingface.co/kssteven/ibert-roberta-large/resolve/main/config.json',
    'kssteven/ibert-roberta-large-mnli': (
        'https://huggingface.co/kssteven/ibert-roberta-large-mnli/resolve/main/config.json'
    ),
}
class 					SCREAMING_SNAKE_CASE__    (							__lowerCAmelCase     ):
      snake_case__							:	List[Any]	  =		'''ibert'''
      def __init__(			self							:			int	,				SCREAMING_SNAKE_CASE__							:			Any=3_0_5_2_2	,				SCREAMING_SNAKE_CASE__							:			Optional[Any]=7_6_8	,				SCREAMING_SNAKE_CASE__							:			Union[str, Any]=1_2	,				SCREAMING_SNAKE_CASE__							:			Optional[int]=1_2	,				SCREAMING_SNAKE_CASE__							:			Tuple=3_0_7_2	,				SCREAMING_SNAKE_CASE__							:			int="gelu"	,				SCREAMING_SNAKE_CASE__							:			Dict=0.1	,				SCREAMING_SNAKE_CASE__							:			Any=0.1	,				SCREAMING_SNAKE_CASE__							:			Optional[Any]=5_1_2	,				SCREAMING_SNAKE_CASE__							:			Any=2	,				SCREAMING_SNAKE_CASE__							:			Optional[int]=0.02	,				SCREAMING_SNAKE_CASE__							:			Union[str, Any]=1E-12	,				SCREAMING_SNAKE_CASE__							:			int=1	,				SCREAMING_SNAKE_CASE__							:			str=0	,				SCREAMING_SNAKE_CASE__							:			str=2	,				SCREAMING_SNAKE_CASE__							:			int="absolute"	,				SCREAMING_SNAKE_CASE__							:			Dict=False	,				SCREAMING_SNAKE_CASE__							:			str="none"	,				**SCREAMING_SNAKE_CASE__							:			int	,				)						->     str:
             super().__init__(pad_token_id=_lowerCamelCase	,				bos_token_id=_lowerCamelCase	,				eos_token_id=_lowerCamelCase	,				**_lowerCamelCase	)

             a_   :						Dict				=    vocab_size
             a_   :						Any				=    hidden_size
             a_   :						Tuple				=    num_hidden_layers
             a_   :						Optional[int]				=    num_attention_heads
             a_   :						Tuple				=    hidden_act
             a_   :						Optional[int]				=    intermediate_size
             a_   :						Optional[int]				=    hidden_dropout_prob
             a_   :						List[Any]				=    attention_probs_dropout_prob
             a_   :						Optional[int]				=    max_position_embeddings
             a_   :						str				=    type_vocab_size
             a_   :						Dict				=    initializer_range
             a_   :						Optional[int]				=    layer_norm_eps
             a_   :						Dict				=    position_embedding_type
             a_   :						int				=    quant_mode
             a_   :						Union[str, Any]				=    force_dequant
class 					SCREAMING_SNAKE_CASE__    (							__lowerCAmelCase     ):
      @property
      def 			SCREAMING_SNAKE_CASE				(			self							:			List[str]	)						->     Optional[Any]:
             if self.task == "multiple-choice":
                    a_   :						Union[str, Any]				=    {0: 'batch', 1: 'choice', 2: 'sequence'}
             else:
                    a_   :						str				=    {0: 'batch', 1: 'sequence'}
             return OrderedDict(
                 [
                     ('input_ids', dynamic_axis),
                     ('attention_mask', dynamic_axis),
                 ]	)



"""simple docstring"""


def      lowerCamelCase_					(   __lowerCAmelCase							)				->   "list[int]":




						'''simple docstring'''



						if upper_limit < 0:
												raise ValueError("Limit for the Catalan sequence must be ≥ 0"							)

						lowerCamelCase__   =[0] * (upper_limit + 1)

						# Base case: C(0) = C(1) = 1
						lowerCamelCase__   =1
						if upper_limit > 0:
												lowerCamelCase__   =1

						# Recurrence relation: C(i) = sum(C(j).C(i-j-1)), from j = 0 to i
						for i in range(2  ,       upper_limit + 1							):
												for j in range(__lowerCAmelCase							):
																		catalan_list[i] += catalan_list[j] * catalan_list[i - j - 1]

						return catalan_list


if __name__ == "__main__":
	print('\n********* Catalan Numbers Using Dynamic Programming ************\n')
	print('\n*** Enter -1 at any time to quit ***')
	print('\nEnter the upper limit (≥ 0) for the Catalan number sequence: ', end='')
	try:
		while True:
			a				=int(input().strip())
			if N < 0:
				print('\n********* Goodbye!! ************')
				break
			else:
				print(F'''The Catalan numbers from 0 through {N} are:''')
				print(catalan_numbers(N))
				print('Try another upper limit for the sequence: ', end='')
	except (NameError, ValueError):
		print('\n********* Invalid input, goodbye! ************\n')

	import doctest

	doctest.testmod()


